Mindful aging: an insightful examination of cognitive impairment in the elderly population of Chengalpattu, Tamil Nadu, using Mini-Cog scale

Authors

  • Vinoth Kumar M. Department of Community Medicine, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Maduranthakam, Chengalpattu District, Tamil Nadu, India
  • Thirunaaukarasu D. Department of Community Medicine, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Maduranthakam, Chengalpattu District, Tamil Nadu, India
  • Geetha M. Department of Community Medicine, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Maduranthakam, Chengalpattu District, Tamil Nadu, India
  • Catherine Rexy D. Department of Community Medicine, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Maduranthakam, Chengalpattu District, Tamil Nadu, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20240316

Keywords:

Elderly, CI, Mini-Cog, Screening

Abstract

Background: By 2050, United Nations projects that one in five Indians would be 60 years of age or older. This demographic transition is likely to be accompanied by substantial rise in prevalence of cognitive problems, which will have an impact on quality of life among elderly people. Effective screening at primary level would help in identification of burden of diseases and better planning at secondary and tertiary level.

Methods: A community-based cross-sectional study over a period of three months was conducted at Pulipakkam in Chengalpattu district. The estimated sample size was 215, and simple random sampling method was used. Elderly people aged 60 years and above who consented to participate were included in the study. After obtaining informed consent, they were screened using the Mini-Cog tool which combines a short memory test with a simple clock- drawing test followed by a recall component.

Results: The 215 participants in total were screened. The mean age of participants was 66.02±3.83 years. The prevalence of cognitive impairment (CI) based on Mini-Cog scale was 44.2%. Females (44.8%) had marginally higher prevalence than males (43.8%). CI was more prevalent among people over 65 years (57.6%). The likelihood of experiencing CI was higher among those who lived without their spouse (59.4%), were unemployed (53.7%), and who were smokers / alcoholics (63.7%). 

Conclusions: Considering the high burden of CI, there is need for long term prospective research for a comprehensive profile of mental disorders at community level. Early assessment and detection of CI could help in improving quality of life of elderly. Implementing initiatives aimed at increasing awareness, reducing stigma, and conducting widespread screening using reliable tools.

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References

Healthy Brain Initiative | Alzheimer’s Disease and Healthy Aging | CDC 2020. Available at: https://www.cdc.gov/aging/healthy brain/index.htm. Accessed on 12 January 2024.

Cao Q, Tan C-C, Xu W, Hu H, Cao X-P, Dong Q, et al. The Prevalence of Dementia: A Systematic Review and Meta-Analysis. J Alzheimer’s Dis 2020;73(3):1157-66.

Suain Bon R, Ariaratnam S, Mat Saher Z, Mohamad M, Lee FS. Cognitive Impairment and Its Associated Risk Factors in the Elderly with Type 2 Diabetes Mellitus. Frontiers in Psychiatr. 2021;12.

International AD, Wimo A, Ali G-C, Guerchet M, Prince M, Prina M, et al. ADI - World Alzheimer Report 2015. World Alzheimer Report 2015 | Alzheimer’s Disease International (ADI). 2015. Available at: https://www.alzint.org/resource/world-alzheimer-report-2015/. Accessed on 12 January, 2024.

Kowal P, Williams S, Jiang Y, Fan W, Arokiasamy P, Chatterji S. Aging, Health, and Chronic Conditions in China and India: Results from the Multinational Study on Global AGEing and Adult Health (SAGE) - Aging in Asia - NCBI Bookshelf. Aging, Health, and Chronic Conditions in China and India: Results from the Multinational Study on Global AGEing and Adult Health (SAGE) - Aging in Asia-NCBI Bookshelf 2012. Available at: https://www.ncbi.nlm.nih.gov/books/NBK109232/. Accessed on 12 January, 2024.

Choudhary A, Ranjan JK, Asthana HS. Prevalence of Dementia in India: A Systematic Review and Meta-Analysis. Indian J Publ Heal. 2021;65(2):152-8.

Reddy Mukku S, Varghese M, Bharath S, Kumar K. Mild cognitive impairment-A hospital-based prospective study. J Geriatric Mental Heal. 2019;6:19.

Jadenur SS, Saroja AO, Kari A, Angolkar M. Prevalence of cognitive impairment among people aged ≥50 years in rural population of Belagavi Taluka-A community based cross sectional study. Clin Epidemiol Global Heal. 2022;13:100940.

Ferri CP, Prince M, Brayne C, Brodaty H, Fratiglioni L, Ganguli M et al. Global prevalence of dementia: a Delphi consensus study. The Lancet. 2005;366:21127.

Rajesh J, Ramasubramanian R, Santhanam RS. A cross-sectional study on prevalence of cognitive impairment and its associated factors among the elderly in an urban area of Chennai, India. Int J Community Med Public Heal. 2020;7(12):5126-33.

Jan Y, Mushtaq B, Bhat AA. Screening for dementia in older adults using Mini-Cog scale from a rural setting of Kashmir division. Int J Community Med Public Heal. 2019;6(6):2579-82.

Tianyi FL, Agbor VN, Njamnshi AK, Atashili J. Factors Associated with the Prevalence of Cognitive Impairment in a Rural Elderly Cameroonian Population: A Community-Based Study in Sub-Saharan Africa. Dement Geriatr Cogn Disord. 2019;47(1-2):104-13.

Mavrodaris A, Powell J, Thorogood M. Prevalences of dementia and cognitive impairment among older people in sub-Saharan Africa: a systematic review. Bull World Heal Organ. 2013;91(10):773-83.

Tao Q, Akhter-Khan SC, Ang TFA, DeCarli C, Alosco ML, Mez J, et al. Different loneliness types, cognitive function, and brain structure in midlife: Findings from the Framingham Heart Study. E-Clin Med. 2022;53:101643.

Evans IEM, Llewellyn DJ, Matthews FE, Woods RT, Brayne C, Clare L, et al. Living alone and cognitive function in later life. Arch Gerontol Geriatr. 2019;81:222-33.

Kelly ME, Duff H, Kelly S, Joanna EMP, Sabina B, Brian AL, et al. The impact of social activities, social networks, social support and social relationships on the cognitive functioning of healthy older adults: a systematic review. Syst Rev. 2017;6(1):259.

Dong Y, Bi W, Zheng K, Zhu E, Wang S, Xiong Y, et al. Nicotine Prevents Oxidative Stress-Induced Hippocampal Neuronal Injury Through α7-nAChR/Erk1/2 Signaling Pathway. Front Mol Neurosci. 2020;13:557647.

Rao RK, McConnell DD, Litofsky NS. The impact of cigarette smoking and nicotine on traumatic brain injury: a review. Brain Inj. 2022;36(1):1-20.

Weyerer S, Schäufele M. The Assessment of Quality of Life in Dementia. Int Psychogeriatr. 2003;15(3):213-8.

Fink A, Doerre A, Demuth I, Gabriele D. Potential of prevention strategies for the modifiable risk factor type 2 diabetes with relation to the future number of dementia patients in Germany– a multi-state projection through 2040. BMC Neurol. 2022;22(1):157.

McGrath ER, Beiser AS, O'Donnell A, Himali JJ, Pase MP, Satizabal CL, Seshadri S. Determining Vascular Risk Factors for Dementia and Dementia Risk Prediction Across Mid- to Later-Life: The Framingham Heart Study. Neurology. 2022;99(2):e142-53.

Moheet A, Mangia S, Seaquist ER. Impact of diabetes on cognitive function and brain structure. Ann N Y Acad Sci. 2015;1353:60-71.

Farnsworth von Cederwald B, Josefsson M, Wåhlin A, Nyberg L, Karalija N. Association of Cardiovascular Risk Trajectory with Cognitive Decline and Incident Dementia. Neurology. 2022;98(20):e2013-22.

Cheon EJ. Hypertension and cognitive dysfunction: a narrative review. J Yeungnam Med Sci. 2023;40(3):225-32.

Li C, Zhu Y, Ma Y, Hua R, Zhong B, Xie W. Association of Cumulative Blood Pressure with Cognitive Decline, Dementia, and Mortality. J Am Coll Cardiol. 2022;79(14):1321-35.

Obisesan TO, Obisesan OA, Martins S, Alamgir L, Bond V, Maxwell C, et al. High blood pressure, hypertension, and high pulse pressure are associated with poorer cognitive function in persons aged 60 and older: the Third National Health and Nutrition Examination Survey. J Am Geriatr Soc. 2008;56(3):501-9.

Kubysheva NI, Eliseeva TI, Postnikova LB, Boldina MV, Gorobets EA, Novikov VV, et al. Cognitive Impairments in Patients with Bronchial Asthma. Bull Exp Biol Med. 2023;174(5):585-8.

Nair AK, Van Hulle CA, Bendlin BB, Zetterberg H, Blennow K, Wild N, et al. Impact of asthma on the brain: evidence from diffusion MRI, CSF biomarkers and cognitive decline. Brain Communications. 2023;5(3):fcad180.

Peters R. Ageing and the brain. Postgrad Med J. 2006;82(964):84-8.

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Published

2024-02-08

How to Cite

M., V. K., D., T., M., G., & D., C. R. (2024). Mindful aging: an insightful examination of cognitive impairment in the elderly population of Chengalpattu, Tamil Nadu, using Mini-Cog scale. International Journal Of Community Medicine And Public Health, 11(3), 1124–1131. https://doi.org/10.18203/2394-6040.ijcmph20240316

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Original Research Articles